Titlebook: Genetic Programming; 7th European Confere Maarten Keijzer,Una-May O’Reilly,Terence Soule Conference proceedings 2004 Springer-Verlag Berlin

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Memorial

Toward an Alternative Comparison between Different Genetic Programming Systemsect of representation and separate out the effects of different search space sizes and search algorithms. Experimental results are given, comparing the performance and search behavior of Tree Adjoining Grammar Guided Genetic Programming (TAG3P) and Standard Genetic Programming (GP) on some standard problems.

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CRAFT

James A. Cummings,Ole Martin SmedstadIn this paper we consider a new class of search and optimization algorithms inspired by molecular dynamics simulations in physics.

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Constrained Molecular Dynamics as a Search and Optimization ToolIn this paper we consider a new class of search and optimization algorithms inspired by molecular dynamics simulations in physics.

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Juan J. Cuadrado-Gallego,Yuri Demchenkobench. We find that, in this context, there seems to be a correlation between successful evolutionary algorithms and the existence of good deterministic algorithms. We also trace the convergence of co-evolution of the population of fitness functions to a deterministic solution.

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Financial Emerging Markets Revisited,volved than sequential programs, opens up a new approach to evolve solution programs in parallel forms. Based on the GPP paradigm, we developed a combinational digital circuit learning system, the GPP+MLP system. An optimal Multiple Logic Unit Processor (MLP) is designed to evaluate genetic parallel

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